MHunt-er / Benchmarking-Malware-Family-Classification
☆15Updated 3 years ago
Alternatives and similar repositories for Benchmarking-Malware-Family-Classification:
Users that are interested in Benchmarking-Malware-Family-Classification are comparing it to the libraries listed below
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆20Updated 2 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆69Updated 2 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆51Updated 3 years ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆41Updated last year
- Training Vision Transformers from Scratch for Malware Classification☆27Updated 3 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆43Updated 3 years ago
- Few-Shot malware classification using fused features of static analysis and dynamic analysis (基于静态+动态分析的混合特征的小样本恶意代码分类框架)☆29Updated 3 years ago
- Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)☆12Updated last year
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆62Updated 4 years ago
- ☆27Updated 2 years ago
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆75Updated 9 months ago
- Official code for kTrans: Knowledge-Aware Transformer for Binary Code Embedding☆24Updated last year
- An implementation of the paper "ELF-Miner: Using Structural Knowledge and Data Mining Methods To Detect New (Linux) Malicious Executables…☆14Updated 6 years ago
- A curated list of malware-related papers.☆23Updated 10 months ago
- Malware Classification using Machine learning☆70Updated 2 months ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆35Updated 2 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆48Updated 8 months ago
- ☆34Updated 5 months ago
- ☆22Updated 5 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆12Updated 4 years ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆18Updated 6 years ago
- This is the official repository for VulHawk.☆67Updated last year
- Code for Benchmarking two ML Approaches performing Authorship Attribution☆35Updated 2 years ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆84Updated 7 months ago
- Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.☆19Updated 4 years ago
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆29Updated 3 years ago
- ☆21Updated 3 years ago
- Official code of Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning☆38Updated last year
- li-zhenyuan / Effective-and-Light-Weight-Deobfuscation-and-Semantic-Aware-Attack-Detection-for-PowerShell-Scripts☆21Updated 4 years ago
- 主题为”基于GAN的恶意软件对抗样本生成“。首先介绍了恶意软件发展现状,引出基于模式匹配、特征空间和问题空间三种方式去检测恶意软件。然后介绍了如何生成对抗样本攻击恶意软件检测器,详细介绍了基于GAN的恶意软件对抗样本的MalGAN框架,并对实验结果进行了对比。最后总结了结构…☆31Updated 3 years ago